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Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here doi:10.1007/s11222-016-9670-1). Data to analyze can be continuous, categorical, integer or mixed. Moreover, missing values can occur and do not necessitate any pre-processing. Shiny application permits an easy interpretation of the results.
Citation | VarSelLCM citation info |
varsellcm.r-forge.r-project.org/ |
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